{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/f352c51358ba41398b755b6f49f97d5b\" frameborder=\"0\" width=\"1512\" height=\"1134\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1134,"width":1512,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1134,"thumbnail_width":1512,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/f352c51358ba41398b755b6f49f97d5b-0651dfcc5e2faf7e.gif","duration":684.18,"title":"FlexAI Training and Deployment Guide","description":"Hi everyone, I'm Ariel, co-founder of FlexAI. In this video, I demonstrate how to fine-tune and inference open-source CLI lamps efficiently. By following a few simple steps, you can optimize your models, reduce costs, and deliver results that satisfy your clients. I guide you through dataset uploading, model training, and endpoint deployment, ensuring a smooth process with valuable insights for successful outcomes."}